Privacy-conscious analytics built for retail media proof
Glass gives network operators and marketers the audience measurement and attribution data they need to optimize campaigns and justify investment.
Privacy-first mmWave sensing
Track footfall, dwell, and flow patterns with millimeter-wave sensors — no cameras, no facial recognition, no PII.
POS correlation & lift analysis
Connect screen playback data to point-of-sale transactions to measure real sales lift.
Campaign reporting
Build reports that tie impressions, engagement, and conversion back to specific campaigns and locations.
Dataset integrations
Ingest weather, traffic, event, and other external datasets to explain performance and optimize planning.
Bring every signal into view
The suite is designed to combine your first-party sensor and operational data with authorised third-party sources used across out-of-home and retail media — so a screen's performance can be read in the context it actually ran in.
On-site sensor signals
Presence, traffic, dwell, interaction, and environmental triggers captured at the screen. Purpose-built signage sensing such as Nexmosphere can supply presence, dwell and traffic signals, RFID / Lift & Learn, touchless interaction, and LiDAR inputs.
Nexmosphere sensor integrationMobility & footfall
Aggregated movement patterns, visitation trends, trade-area activity, and exposure modelling from licensed mobility providers.
Traffic & transit
Vehicle counts, congestion, pedestrian flows, and public transit schedules or ridership where those feeds are available.
Weather & environment
Current and historical weather, temperature, precipitation, air quality, and daylight — usable as context for analysis or as playback triggers.
Events, POIs & local context
Venue calendars, sports and concert events, holidays, nearby points of interest, and demographic or market context from properly licensed sources.
OOH & media data
Screen inventory, proof-of-play, campaign schedules, audience estimates and impression methodology, programmatic / SSP data, and recognised market measurement datasets where licensed.
Commerce & POS outcomes
Transaction counts, basket value, product and category performance, store or location IDs, and campaign windows — aggregated for sales-lift and attribution analysis.
Third-party sources are optional, permissioned integrations subject to provider licensing, API access, and your own data-governance requirements. We do not claim existing partnerships with the providers of these datasets.
Connect media exposure to business outcomes.
Rabbithole Labs is designed to integrate with commerce and POS platforms that provide supported APIs or webhooks — Square, Shopify POS, Clover, Stripe Terminal, Toast, Lightspeed Retail and Oracle Simphony among them — so authorised order, location, payment-event, and transaction signals can be aligned with campaign and screen activity.
Other POS systems can connect through open APIs, webhooks, scheduled exports, or MCP-compatible tools. Access, event coverage and available fields vary by platform and customer plan, and some enterprise systems are scoped during discovery.
Built around data minimisation: we work with aggregated, store-level and campaign-level analytics. No card details and no personal customer data are needed to measure lift.
Example commerce connections
Square
Location-level transactions, item and category performance, and promotion windows via documented APIs and webhooks.
Shopify POS
In-store and omnichannel order, product, and inventory signals through authorised app APIs and webhooks.
Clover
Merchant-authorised order, payment-event, and item signals through its published developer platform.
Stripe Terminal
In-person payment events, transaction counts, and refund signals via documented APIs and webhooks.
Examples only — integrations depend on your account permissions and each provider's API terms. No partnership or endorsement is implied.
Connect media exposure to business outcomes.
Glass connects to widely used commerce and POS platforms through supported APIs, webhooks, exports, and scoped integrations — bringing location-level transactions, product performance, availability, and promotion signals into the same view as campaign and screen activity.
Core integration targets
Square
Location-level transactions, item and category performance, and promotion windows via documented APIs and webhooks.
Integration detailsShopify POS
In-store and omnichannel order, product, and inventory signals through authorised app APIs and webhooks.
Integration detailsClover
Merchant-authorised order, payment-event, and item signals through its published developer platform.
Stripe Terminal
In-person payment events, transaction counts, and refund signals via documented APIs and webhooks.
Restaurant & hospitality
Toast
Restaurant order, menu-item, and daypart performance signals for menu-board and promotion analysis.
Available through provisioned or partner-scoped API access depending on the use case.
Lightspeed Retail
Store-level sales, SKU performance, and inventory availability through supported OAuth APIs.
Enterprise & QSR
Oracle Simphony
Enterprise QSR transaction and menu-item context, scoped to the specific API product and its permitted use.
Requires provisioned or custom access; analytics use must respect the permitted use of the specific Simphony API product rather than assuming bulk analytics access.
Browse the full integrations catalogue
Signals we work with
- Location / store ID
- Transaction timestamp and counts
- Net sales and basket value
- Product, category, or SKU performance
- Promotion / campaign identifiers and windows
- Refunds and returns where appropriate
- Item availability and inventory signals
What this does and does not require
- We do not require card details.
- Customer-level personal data is not needed for the standard analytics model.
- Access, event coverage, rate limits, approval requirements, and available fields vary by platform and customer plan.
- Oracle Simphony and Toast may require provisioned, partner, or custom access depending on the use case, and are scoped during discovery and procurement.
Product names and logos belong to their respective owners. These are integration targets reachable through supported or scoped integration work — not certified one-click integrations, partnerships, or endorsements.
Audience measurement and attribution FAQ
- What is digital signage audience measurement?
- Observing how many people were present near a screen, how long they stayed, and how that exposure lines up with what played — rather than estimating reach from store-level traffic averages.
- How does footfall and dwell sensing protect privacy?
- Glass uses mmWave sensors that detect presence, movement and dwell. There are no cameras, no facial recognition and no personally identifying data, and no individual is identified at any stage.
- What does POS attribution for digital signage involve?
- With the merchant's authorisation, order, catalogue and promotion data is analysed in aggregate against campaign playback periods to look for associated movement in sales. It is correlational evidence, not a causal guarantee.
- How is retail media network measurement different from proof of play alone?
- Proof of play establishes delivery. Measurement adds observed exposure, contextual data and aggregated commerce outcomes, which is what advertisers funding in-store inventory increasingly ask for.
- Which commerce platforms can be connected?
- Any platform whose merchant-authorised API or export exposes the needed signals. Square and Shopify POS have documented integration paths; Stripe, Toast, Clover, Lightspeed Retail and Oracle Simphony are open-API possibilities whose feasibility depends on account, plan and region. These are integration targets, not formal partnerships.
Turn impressions into evidence
Stop guessing whether signage works. Glass connects what plays on screen to what happens in the store.
Prove ROI
Show exactly how signage investment translates to sales and engagement.
Optimize placement
Use footfall and dwell data to decide where screens matter most.
Justify network spend
Give finance and leadership clear attribution, not just impressions.